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[] [UDEMY] Projects in Machine Learning Beginner To Professional - FTU]

  • 收录时间:2018-12-18 02:40:13
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  • 最近下载:2021-01-12 01:14:16
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文件列表

  1. 12. Project 7 Text Classification/2. Feature Engineering.mp4 375MB
  2. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 358MB
  3. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323MB
  4. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 259MB
  5. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 231MB
  6. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 217MB
  7. 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 209MB
  8. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 206MB
  9. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204MB
  10. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198MB
  11. 14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185MB
  12. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 181MB
  13. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 171MB
  14. 14. Project 9 PCA/2. The Elbow Method.mp4 114MB
  15. 6. Warmup Project/3. Building and Training the Network Part 2.mp4 63MB
  16. 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53MB
  17. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 49MB
  18. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 38MB
  19. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36MB
  20. 6. Warmup Project/2. Building and Training the Network Part 1.mp4 36MB
  21. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 36MB
  22. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 36MB
  23. 2. Supervised Learning - part 1/4. Support Vector Machines.mp4 36MB
  24. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 36MB
  25. 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34MB
  26. 4. Neural Networks/5. Convolutional Neural Networks.mp4 32MB
  27. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 32MB
  28. 5. Real World Machine Learning/4. Common Software for ML.mp4 31MB
  29. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31MB
  30. 6. Warmup Project/1. Setting up OpenAI Gym.mp4 30MB
  31. 1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29MB
  32. 3. Unsupervised Learning/2. Association Rules.mp4 29MB
  33. 3. Unsupervised Learning/3. Cluster Analysis.mp4 28MB
  34. 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27MB
  35. 2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 27MB
  36. 5. Real World Machine Learning/1. Introduction to Real World ML.mp4 26MB
  37. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 25MB
  38. 4. Neural Networks/4. Training Procedures.mp4 24MB
  39. 1. An Introduction to Machine Learning/4. AI vs ML.mp4 23MB
  40. 4. Neural Networks/1. Introduction to Neural Networks.mp4 23MB
  41. 4. Neural Networks/3. The Backpropagation Algorithm.mp4 23MB
  42. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 22MB
  43. 2. Supervised Learning - part 1/5. Basis Expansions.mp4 21MB
  44. 3. Unsupervised Learning/4. Reinforcement Learning.mp4 21MB
  45. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 20MB
  46. 5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19MB
  47. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 18MB
  48. 4. Neural Networks/2. The Perceptron.mp4 17MB
  49. 9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17MB
  50. 13. Project 8 - KMeans/1. Intro.mp4 11MB
  51. 11. Project 6 Image Super Resolution/1. Intro.mp4 10MB
  52. 8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 8MB
  53. 7. Project 1Board Game Review Prediction/1. Intro.mp4 8MB
  54. 10. Project 5 Object Recognition/1. Intro.mp4 7MB
  55. 12. Project 7 Text Classification/1. Intro.mp4 5MB
  56. 14. Project 9 PCA/1. Intro.mp4 4MB
  57. 1. An Introduction to Machine Learning/1. Introduction.mp4 2MB
  58. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/Image Super Resolution with the SRCNN (HTML Notebook).html 967KB
  59. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baboon.png 789KB
  60. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/Image Super Resolution with the SRCNN (Jupyter Notebook).ipynb 701KB
  61. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/pepper.png 654KB
  62. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/barbara.png 629KB
  63. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/comic.png 618KB
  64. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/lenna.png 598KB
  65. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baby_GT.png 574KB
  66. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/zebra.png 531KB
  67. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/flowers.png 515KB
  68. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/monarch.png 460KB
  69. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/butterfly_GT.png 441KB
  70. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/ppt3.png 433KB
  71. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/bird_GT.png 422KB
  72. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/woman_GT.png 416KB
  73. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/coastguard.png 403KB
  74. 8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection/Credit Card Fraud Detection/Credit Card Fraud Detection (HTML).html 399KB
  75. 10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (HTML Notebook).html 399KB
  76. 14. Project 9 PCA/1.1 PCA/PCA/PCA Compression and Visualization (HTML).html 394KB
  77. 13. Project 8 - KMeans/1.1 KMeans/KMeans/KMeans Clustering for Imagery Analysis (HTML).html 386KB
  78. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/head_GT.png 385KB
  79. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/face.png 380KB
  80. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/foreman.png 373KB
  81. 2. Supervised Learning - part 1/7.1 Supervised Learning/Supervised Learning/Unit 2 Project - Supervised Learning in Python (HTML Document).html 347KB
  82. 7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions/Board Game Review Predictions/Board Game Review Prediction (HTML).html 319KB
  83. 12. Project 7 Text Classification/1.1 Text Classification/Text Classification/NLP for Text Classification (HTML).html 294KB
  84. 3. Unsupervised Learning/5.1 Unsupervised Learning/Unsupervised Learning/Unit 3 Project - KMeans Clustering (HTML).html 290KB
  85. 6. Warmup Project/1.1 Final Project/Final Project/Final Project (HTML).html 289KB
  86. Discuss.FreeTutorials.Us.html 166KB
  87. 8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection/Credit Card Fraud Detection/Credit Card Fraud Detection (Jupyter Notebook).ipynb 145KB
  88. 10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (Jupyter Notebook).ipynb 132KB
  89. 14. Project 9 PCA/1.1 PCA/PCA/PCA Compression and Visualization (Jupyter Notebook).ipynb 132KB
  90. 13. Project 8 - KMeans/1.1 KMeans/KMeans/KMeans Clustering for Imagery Analysis (Jupyter Notebook).ipynb 123KB
  91. FreeCoursesOnline.Me.html 108KB
  92. FreeTutorials.Eu.html 102KB
  93. 2. Supervised Learning - part 1/7.1 Supervised Learning/Supervised Learning/Unit 2 Project - Supervised Learning in Python (Jupyter Notebook).ipynb 93KB
  94. 2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75KB
  95. 7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions/Board Game Review Predictions/Board Game Review Prediction (Jupyter Notebook).ipynb 68KB
  96. 1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 65KB
  97. 1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 62KB
  98. 12. Project 7 Text Classification/2. Feature Engineering.srt 56KB
  99. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55KB
  100. 2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 53KB
  101. 5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47KB
  102. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 46KB
  103. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44KB
  104. 3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41KB
  105. 3. Unsupervised Learning/5.1 Unsupervised Learning/Unsupervised Learning/Unit 3 Project - KMeans Clustering (Jupyter Notebook).ipynb 39KB
  106. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37KB
  107. 14. Project 9 PCA/3. PCA Compression and Visualization.srt 36KB
  108. 5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35KB
  109. 13. Project 8 - KMeans/3. Evaluation and Visualization.srt 35KB
  110. 1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 35KB
  111. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 33KB
  112. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32KB
  113. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 31KB
  114. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30KB
  115. 3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 30KB
  116. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 30KB
  117. 14. Project 9 PCA/2. The Elbow Method.srt 29KB
  118. 6. Warmup Project/3. Building and Training the Network Part 2.srt 27KB
  119. 12. Project 7 Text Classification/1.1 Text Classification/Text Classification/NLP for Text Classification (Jupyter Notebook).ipynb 27KB
  120. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 27KB
  121. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25KB
  122. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 25KB
  123. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23KB
  124. 3. Unsupervised Learning/4. Reinforcement Learning.srt 22KB
  125. 2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 22KB
  126. 4. Neural Networks/5. Convolutional Neural Networks.srt 22KB
  127. 2. Supervised Learning - part 1/4. Support Vector Machines.srt 20KB
  128. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20KB
  129. 6. Warmup Project/2. Building and Training the Network Part 1.srt 20KB
  130. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 20KB
  131. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 19KB
  132. 4. Neural Networks/4. Training Procedures.srt 19KB
  133. 3. Unsupervised Learning/2. Association Rules.srt 19KB
  134. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18KB
  135. 3. Unsupervised Learning/3. Cluster Analysis.srt 18KB
  136. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 18KB
  137. 4. Neural Networks/1. Introduction to Neural Networks.srt 18KB
  138. 6. Warmup Project/1. Setting up OpenAI Gym.srt 17KB
  139. 2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17KB
  140. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 17KB
  141. 5. Real World Machine Learning/1. Introduction to Real World ML.srt 16KB
  142. 4. Neural Networks/3. The Backpropagation Algorithm.srt 16KB
  143. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 16KB
  144. 1. An Introduction to Machine Learning/2. What is Machine Learning.srt 16KB
  145. 6. Warmup Project/1.1 Final Project/Final Project/Final Project (Jupyter Notebook).ipynb 15KB
  146. 5. Real World Machine Learning/4. Common Software for ML.srt 15KB
  147. 2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 15KB
  148. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14KB
  149. 2. Supervised Learning - part 1/5. Basis Expansions.srt 14KB
  150. 4. Neural Networks/2. The Perceptron.srt 13KB
  151. 5. Real World Machine Learning/2. Choosing an Algorithm.srt 13KB
  152. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 13KB
  153. 1. An Introduction to Machine Learning/4. AI vs ML.srt 13KB
  154. 8. Project 2 Credit Card Fraud Detection/1. Intro.srt 3KB
  155. 7. Project 1Board Game Review Prediction/1. Intro.srt 2KB
  156. 10. Project 5 Object Recognition/1. Intro.srt 2KB
  157. 9. Project 4 Intro to Natural Language Processing/1. Intro.srt 2KB
  158. 1. An Introduction to Machine Learning/1. Introduction.srt 2KB
  159. 13. Project 8 - KMeans/1. Intro.srt 2KB
  160. 11. Project 6 Image Super Resolution/1. Intro.srt 2KB
  161. 12. Project 7 Text Classification/1. Intro.srt 1KB
  162. 14. Project 9 PCA/1. Intro.srt 1KB
  163. [TGx]Downloaded from torrentgalaxy.org.txt 524B
  164. Torrent Downloaded From GloDls.to.txt 84B
  165. 1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65B
  166. 2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65B
  167. 3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65B
  168. 5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65B
  169. 1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53B
  170. 2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53B
  171. 3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53B
  172. 5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53B
  173. Presented By SaM.txt 38B